NVIDIA's Kumo Relational predicts straight from relational databases, no training or table flattening required
NVIDIA released Kumo Relational, a pre-trained relational foundation model that predicts directly on enterprise relational databases without task-specific training, feature engineering, or flattening tables into one wide row. Across 41 tasks on 15 databases it beats supervised relational deep learning models and expert-engineered gradient-boosted tree pipelines, and on the SAP SALT enterprise benchmark it exceeds AutoGluon ensembles by 8% in mean reciprocal rank. A prediction is stated as a declarative query, and the model answers it in a single forward pass using historical examples as context.